Presentation | 2009-07-28 An Adaptive Provenance Archiving Method on Data Stream Processing Hideyuki KAWASHIMA, Hiroyuki KITAGAWA, Toshiyuki AMAGASA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes provemance management techniques for data streams. The techniques provide persistence to provenance of output for applications. We describe two basic methods and then we propose an adaptive archiving method. We describe to transfer provenance tuples to a disk in a lump by marshaling provenance tuples so that the number of disk accesses are reduced to be 1. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Data Stream / Provenance / Continual Query |
Paper # | DE2009-7 |
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Committee | DE |
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Conference Date | 2009/7/21(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Data Engineering (DE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An Adaptive Provenance Archiving Method on Data Stream Processing |
Sub Title (in English) | |
Keyword(1) | Data Stream |
Keyword(2) | Provenance |
Keyword(3) | Continual Query |
1st Author's Name | Hideyuki KAWASHIMA |
1st Author's Affiliation | Graduate School of Systems and Information Engineering, University of Tsukuba:Center for Computational Sciences, University of Tsukuba() |
2nd Author's Name | Hiroyuki KITAGAWA |
2nd Author's Affiliation | Graduate School of Systems and Information Engineering, University of Tsukuba:Center for Computational Sciences, University of Tsukuba |
3rd Author's Name | Toshiyuki AMAGASA |
3rd Author's Affiliation | Graduate School of Systems and Information Engineering, University of Tsukuba:Center for Computational Sciences, University of Tsukuba |
Date | 2009-07-28 |
Paper # | DE2009-7 |
Volume (vol) | vol.109 |
Number (no) | 153 |
Page | pp.pp.- |
#Pages | 6 |
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